Arabidopsis PPIs Predictor based on deep learning
We integrated RCNN, Domain2vec and Go2vec frameworks to predict the Arabidopsis thaliana PPIs and the Oryza sativa PPIs based on logistic regression. If you have any questions about the use of our model, check out the tips below:
- The input protein must be in Fasta format.
- The greater than sign(>) must be followed by an ID in Uniprot format, for example:
>P31946
>P62258 - If you need to convert to another identifier type, jump to this link.
Note
- When using Domain2vec,Go2vec, and the integrated model, if your input protein is not in our pre-trained corpus, the model will not be able to predict your input. But RCNN can predict any protein sequence, so you can choose RCNN.
- The current performance of cross-species models is not so satisfactory, so if you choose to predict PPIs of Oryza sativa, please evaluate the results correctly and carefully.
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